Quasi-Newton Method for DSPSL Bandpass Filter Design

Abstract

A method based on neural-network is developed and applied to analyze the DSPSL filter design. Through the neural network analysis of nonlinear circuits, it can enhance the efficiency of electro-magnetic (EM) analysis techniques for DSPSL filter design. Quasi-Newton method is adopted, which has shorter training period and the faster convergence. A good agreement between ANN results and EM simulations verifies the validity of this proposed MLPNN model.